GALILEO Predictive Demand Planning &Forecasting Transform Your Demand Planning Process with Analytics

Trusted Experts in Analyt ics

The notion of forecast value-added is directly presented within the Galileo solution by objectively illustrating which method of forecasting is generating the greatest level of accuracy over time. Once trust has been established, users will start to incorporate the predictive results into their plans and forecasts, as the accuracy of the predictive algorithms is realized. Furthermore, organizations will begin to incorporate “what-if” scenarios into the strategic financial planning processes - things like, “What-If we have 3 more snow days this winter, what will be the impact on our revenue?” Or, “What-if we increase advertising by x%, what is the predicted impact on our bottom line?”. The net result is a truly dynamic strategic financial process that is driven from the very best data science, and in a manner that business leaders can easily understand, to make the best decisions for their organizations.

What if you could integrate Financial Planning with Predictive Demand Forecasting?

In order to be successful, businesses must ensure their strategic decision making and traditional financial planning processes are working together. Predictive algorithms offer game-changing potential to dramatically improve both forecasting accuracy, and allow flexibility in strategic decision-making. In many organizations, predictive modeling supports operational planning processes, but plays no part in either financial or strategic planning. As a result, leadership misses the opportunity to maximize top and bottom line performance. Galileo changes this status quo by integrating traditional Financial planning with fully-automated Predictive Demand Forecasting.

The business value Galileo delivers could

be the difference between business

failure and best-in-class

business performance

The gap between predictive modeling and traditional financial planning processes is largely driven by two factors:

1. A lack of experience and knowledge of data science within the finance functions of organizations2. A lack of confidence in Predictive algorithms delivering acceptable accuracy

Galileo addresses both issues in several unique ways. First, you require no knowledge of data science to achieve extremely accurate predictive forecasting. QueBIT’s Predictive Engine delivers a highly-automated forecasting engine, while allowing existing Finance team-members to easily understand drivers, tweak business rules, and add data sources, as desired. Second, the predictive forecasts are generated as an initial baseline for traditional methods of planning and forecasting; which allows planners to make adjustments and avoid the perception of these models being imposed on them. Instead, planners see predictive forecasts as decision-support. Galileo also captures the initial predictive forecasts and subsequent adjustments separately to report on overall accuracy which helps support confidence and transparency.

What Makes GALILEO

Predictive Demand

Planning by QueBIT

Unique?

Let’s face it, forecasting demand for stable, long term products is generally a straightforward process. The demand for these products is easily anticipated and it is unlikely that there will be major deviations in that demand from one period to the next. Regardless of the forecasting tool, most organizations will be able to forecast this demand within an acceptable tolerance.

Unfortunately, low and high velocity (long tail) products, new products, and products where sales are heavily influenced by life cycle are much more difficult to anticipate – this is where the QueBIT Solution excels.

GALILEO Predictive Demand Planning by QueBIT incorporates a user friendly interactive budgeting and intelligent planning environment with highly accurate predictive demand forecasts generated using advanced statistical and machine learning forecasting techniques. The QueBIT Team’s unequivocal experience implementing demand planning solutions drives gains in capital and resource management and supply chain efficiency that can results in millions of dollars in incremental revenue.

By implementing our Demand Planning and Forecasting Solution, clients can expect the following:

• An average of 60% overall reduction in Planning hours

• 50% + Improvement in forecast accuracy

• Increased sales up to 15%• 50% reduction in budget

cycles

Our approach provides the following capabilities to support the development of highly accurate forecasts:

• Multiple models increase accuracy, rather than a single approach

• Causal variables provide forecast accuracy and scenario testing

• Product life cycle provides useful insight to inform the product demand

• What-if analysis and business modeling scenario planning without the help of IT

• Read/write functionality with configurable workflow

• Integration of sales and inventory plans with financial planning and reporting

• Easily integrates with existing order management and supply chain planning systems

QueBIT Consult ing LLC49 Secor RoadScarsdale, NY 105831-800-QueBIT1www.quebit .com

About QueBITTrusted experts in analytics, QueBIT is dedicated to helping organizations to leverage their data to make more intelligent decisions that result in significantly improved business value. QueBIT has delivered analytics solutions to more than 450 organizations, including some of the largest and most successful companies in the world. QueBIT solutions span the entire spectrum of analytics, from data management, including Big Data strategy and implementation, Business Intelligence, Business Planning, Predictive Analytics and IoT Analytics. QueBIT’s unique CARE methodology coaches customers to achieve independence in solution ownership, while delivering rapid time to value. QueBIT has been recognized by many industry awards.

© QueBIT Consulting LLC 2014. QueBIT and FrameWORQ are registered trademarks of QueBIT Consulting LLC. IBM, the IBM logo, Cognos, and TM1 are trademarks of International Business Machines Corporation.

Trusted Experts in Analyt ics